caffe2.python.layers.reservoir_sampling.ReservoirSampling Class Reference

Inheritance diagram for caffe2.python.layers.reservoir_sampling.ReservoirSampling:

Public Member Functions
def	__init__ (self, model, input_record, num_to_collect, name='reservoir_sampling', kwargs)
def	add_ops (self, net)
Public Member Functions inherited from caffe2.python.layers.layers.ModelLayer
def	__init__ (self, model, prefix, input_record, predict_input_record_fields=None, tags=None, kwargs)
def	get_type (self)
def	predict_input_record (self)
def	input_record (self)
def	predict_output_schema (self)
def	predict_output_schema (self, output_schema)
def	output_schema (self)
def	output_schema (self, output_schema)
def	get_parameters (self)
def	get_fp16_compatible_parameters (self)
def	get_memory_usage (self)
def	add_init_params (self, init_net)
def	create_param (self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None)
def	get_next_blob_reference (self, name)
def	add_operators (self, net, init_net=None, context=InstantiationContext.TRAINING)
def	add_ops (self, net)
def	add_eval_ops (self, net)
def	add_train_ops (self, net)
def	add_ops_to_accumulate_pred (self, net)
def	add_param_copy_operators (self, net)
def	export_output_for_metrics (self)
def	export_params_for_metrics (self)

Public Attributes
	num_to_collect
	reservoir
	num_visited_blob
	mutex
	extra_input_blobs
	extra_output_blobs
	output_schema
Public Attributes inherited from caffe2.python.layers.layers.ModelLayer
	name
	model
	kwargs
	request_only
	precomputation_request_only
	precomputation_object_only
	eval_output_schema
	tags
	params

Detailed Description

Collect samples from input record w/ reservoir sampling. If you have complex
data, use PackRecords to pack it before using this layer.

This layer is not thread safe.

Definition at line 12 of file reservoir_sampling.py.

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The documentation for this class was generated from the following file:

• caffe2/python/layers/reservoir_sampling.py